Classifications

• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
  • G01N15/06—Investigating concentration of particle suspensions
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
  • G01N15/10—Investigating individual particles
  • G01N15/14—Optical investigation techniques, e.g. flow cytometry
  • G01N15/1456—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
  • G01N15/1459—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
  • G01N33/26—Oils; Viscous liquids; Paints; Inks
  • G01N33/28—Oils, i.e. hydrocarbon liquids
  • G01N33/2835—Specific substances contained in the oils or fuels
  • G01N33/2858—Metal particles
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
  • G01N15/06—Investigating concentration of particle suspensions
  • G01N15/075—Investigating concentration of particle suspensions by optical means
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
  • G01N2015/0042—Investigating dispersion of solids
  • G01N2015/0053—Investigating dispersion of solids in liquids, e.g. trouble
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
  • G01N15/10—Investigating individual particles
  • G01N2015/1021—Measuring mass of individual particles
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
  • G01N15/10—Investigating individual particles
  • G01N15/14—Optical investigation techniques, e.g. flow cytometry
  • G01N2015/1486—Counting the particles

Definitions

• the present invention relates to the field of testing equipment, and in particular, to a method for detecting a concentration of a fluid particle.
• the particulate matter detection device such as the fluid particle concentration detection device
• the fluid particle concentration detection device is usually installed in the oil pipeline to monitor the quality of the oil in real time and provide effective diagnosis for fault diagnosis of engines, bearings and gears. Based on the basis, and can quickly and accurately determine the wear status of the equipment and the cause of the failure.
• the technical problem solved by the present invention is to provide a detection method for more accurately measuring the concentration of particles in a fluid.
• the present inventors made several improvements to the fluid density detection method for particulate matter detection apparatus includes obtaining an output value U scattered background noise the noise floor, And in the subsequent detection and calculation process, the impact of the noise floor value is eliminated, and the accuracy of the particle concentration detection calculation in the fluid is improved.
• certain period of time may refer to any period of time, and may be selected according to actual conditions.
• the standard particulate matter is selected from particles having a particle diameter of 10 ⁇ m, and the corresponding voltage signal is U 10 ⁇ m .
• preferentially selecting particles having a diameter of 10 ⁇ m as standard particles can improve the detection accuracy on the one hand and improve the detection sensitivity on the other hand. If the particles are too large, the detection accuracy of the subsequent calculated concentration will be lowered, and if the particles are too small, the sensitivity of the device detection will be lowered, resulting in the inability to detect the particulate matter. Therefore, the inventors can effectively balance the detection accuracy and the detection sensitivity by using particles having a diameter of 10 ⁇ m as standard particles, so that the detection process is more accurate.
• the method for extracting the effective signal is to compare the collected signal with the scatter noise value, and select a signal larger than the scatter noise value as the effective signal.
• the effective signal needs to be selected as the basis for subsequent calculation, otherwise the accuracy of the detection calculation result is affected.
• the inventor has chosen a simple and effective way to select an effective signal, which is to compare the collected signal with the previously collected scattering noise value, and use a signal larger than the scattering noise value as an effective signal to make the collected signal. More practical, making subsequent measurements more accurate.
• the step of obtaining the number of particles by threshold analysis in the S3 comprises:
• the collected signal U x is compared with the bottom noise value U noise . If the U x -U noise floor is > 0, the count is incremented by 1. If the U x -U noise floor is ⁇ 0, the count is zero.
• the inventor selects the counting method preferably by comparing the signal value with the noise floor value, instead of counting the numbers read by the signal value, so that the error caused by the bottom noise value can be eliminated, that is, only The signal when the U x -U noise floor > 0 is counted as a particulate matter, so that the detection result is more accurate, and the detection precision of the particle concentration is improved.
• the step of obtaining the concentration of the particles in the S4 comprises:
• V x volume of unknown particles
• K sensor correction factor
• V 10um standard particle volume
• U x particle volume output voltage amplitude of unknown volume
• U 10um standard particle output voltage amplitude
• the particle concentration c can be obtained by the following formula:
• the sensor correction coefficient K refers to a situation in which the bottom noise calibration offset is inevitable during the calibration of the sensor, and the measurement error occurs, and a fine adjustment coefficient K is introduced here. Small fine-tuning; it is also possible that when selecting standard particles, the particles are not completely standard, resulting in some subtle volume calculation errors, which can be corrected together with the introduction of the correction factor.
• the consideration of removing the influence of the noise floor value is also included, so that the detection result is more accurate.
• the calculation formula of the above-mentioned particulate matter includes the factor of subtracting U noise from U x and the noise of U 10um minus U noise , which can make the calculated particle volume closer to the actual value and improve the calculation of the particle concentration in the fluid. Accuracy.
• the fluid particle concentration detecting method of the present invention includes the consideration of removing the influence of the noise floor value in the particle concentration calculating step, so that the calculated particle volume is closer to the actual value, and the calculation accuracy of the particle concentration in the fluid is improved. ;
• the method for detecting the concentration of a fluid particle according to the present invention compares the collected signal with the previously collected scatter noise value, and uses a signal larger than the scatter noise value as an effective signal, so that the collected signal is more practical. Make subsequent measurements more accurate.
• the method for detecting the concentration of a fluid particle according to the present invention wherein the method of selecting the count by the inventor preferably compares the signal value with the noise floor value, instead of counting the numbers read by the signal value, so that the detection result is more accurate. Improve the detection accuracy of the concentration of particulate matter;
• a method for detecting a concentration of a fluid particle according to the present invention comprising the steps of:
• the standard particulate matter is selected from particles having a particle diameter of 10 ⁇ m, and the corresponding voltage signal is U 10 ⁇ m .
• the inventors can effectively balance the detection accuracy and the detection sensitivity by using particles having a diameter of 10 ⁇ m as standard particles, on the one hand, the detection accuracy can be improved, and on the other hand, the detection sensitivity can be improved.
• the method for extracting the effective signal is to compare the collected signal with the scattered noise floor value, and select a signal larger than the scattering noise value as the effective signal.
• the collected signal is compared with the previously collected scattering bottom noise value, and the signal larger than the scattering bottom noise value is used as an effective signal, so that the collected signal is more practical, and the subsequent measurement result is more accurate.
• the step of obtaining the number of particles by threshold analysis in the S3 includes:
• the collected signal U x is compared with the bottom noise value U noise . If the U x -U noise floor is > 0, the count is incremented by 1. If the U x -U noise floor is ⁇ 0, the count is zero.
• the inventor selects the counting method preferably by comparing the signal value with the noise floor value, instead of counting the numbers read by the signal value, so that the error caused by the bottom noise value can be eliminated, that is, only The signal when the U x -U noise floor > 0 is counted as a particulate matter, so that the detection result is more accurate, and the detection precision of the particle concentration is improved.
• the step of obtaining the concentration of the particulate matter in the S4 comprises:
• V x volume of unknown particles
• K sensor correction factor
• V 10um standard particle volume
• U x particle volume output voltage amplitude of unknown volume
• U 10um standard particle output voltage amplitude
• the particle concentration c can be obtained by the following formula:
• the consideration of removing the influence of the noise floor value is also included, so that the detection result is more accurate.
• the calculation formula of the above-mentioned particulate matter includes the factor of subtracting U noise from U x and the noise of U 10um minus U noise , which can make the calculated particle volume closer to the actual value and improve the calculation of the particle concentration in the fluid. Accuracy.
• the particles are defaulted to the particles commonly found in fluids, and the relative density is brought into, and the mass of the individual particles can be converted.
• the total mass of the particles in the current time period can be obtained by accumulating the mass of the particles for a period of time based on the calculation of a single particle:

Landscapes

• Chemical & Material Sciences (AREA)
• Health & Medical Sciences (AREA)
• Life Sciences & Earth Sciences (AREA)
• Pathology (AREA)
• Physics & Mathematics (AREA)
• Analytical Chemistry (AREA)
• Biochemistry (AREA)
• General Health & Medical Sciences (AREA)
• General Physics & Mathematics (AREA)
• Immunology (AREA)
• Dispersion Chemistry (AREA)
• Engineering & Computer Science (AREA)
• Chemical Kinetics & Catalysis (AREA)
• General Chemical & Material Sciences (AREA)
• Oil, Petroleum & Natural Gas (AREA)
• Food Science & Technology (AREA)
• Medicinal Chemistry (AREA)
• Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
• Investigating Or Analysing Materials By Optical Means (AREA)
• Sampling And Sample Adjustment (AREA)
• Other Investigation Or Analysis Of Materials By Electrical Means (AREA)

Priority Applications (2)

Applications Claiming Priority (2)

Publications (1)

Family

ID=62524392

Family Applications (1)

Country Status (4)

Cited By (2)

Families Citing this family (5)

Citations (6)

Family Cites Families (5)

• 2017
  • 2017-12-05 CN CN201711269390.2A patent/CN108169086A/zh active Pending
• 2018
  • 2018-11-30 WO PCT/CN2018/118699 patent/WO2019109874A1/zh unknown
  • 2018-11-30 EP EP18886452.4A patent/EP3722783A4/de not_active Withdrawn
  • 2018-11-30 US US16/487,941 patent/US11092534B2/en active Active

Patent Citations (6)

Non-Patent Citations (1)

Also Published As

Similar Documents

Legal Events